SwiftMR

AI image optimisation for all
MRI systems

Original Enhanced
L-Spine T2WI, O.6T FONAR UPRIGHT Multi-Position MRI 2DESE 1.2x1.2x4 .5 mm. Same scan, Scan time: 5:35
Original Enhanced
Vessel Wall T1WI, 3.0T Philips Ingenia CX 3D ISE 0.6x0.6x0 7 mm. Same scan, Scan tim: 04:30

A paradigm shift in MRI diagnostics

  • SwiftMR revolutionises imaging with AI and deep learning
  • Operators and patients benefit from higher image quality with shorter examination times
  • Greater patient comfort and higher device utilisation

SwiftMR represents the latest advancement in medical imaging.
The use of AI and deep learning algorithms can significantly improve image quality. At the same time, advances in medical AI development benefit operators and patients alike. Both benefit from shorter examination times: more patient comfort and tolerance with higher device utilisation.

SwiftMR is shaping the future of medical imaging and redefining standards of care in radiology.

Improving image quality

  • AI improves image quality through image noise detection and elimination for high-precision diagnostics

By precisely analysing and interpreting images, AI algorithms can detect and eliminate image noise. This results in images with added medical value, enabling a more accurate diagnosis.

Original Enhanced
Brain MRA, 0.3T Hitachi AIRIS Vento 3D TOF, 0.7x1.5x1.2 mm, Same scan, Scan time: 13:04
L-Spine T2WI, 3.0T Philips Ingenia CX 2D TSE, (L) 0.4x0.9x3.0 mm, (R) 0.6x1.1x3.0 mm, Scan time: original(06:08), enhanced(00:44)

Reduction of scan times

  • AI in MRI significantly reduces scan times
  • Shorter scan times increase efficiency & device utilisation
  • Faster MRI examinations increase patient satisfaction

Another significant advantage of AI in MRI is the drastic reduction in scan times. Traditionally, MRI scans can be time-consuming, which is not only uncomfortable for the patient but also affects efficiency.

By using AI, scan times can be significantly reduced without compromising diagnostic accuracy. This enables faster processing of examinations, which in turn leads to greater patient satisfaction.

Increasing the service life of MRI systems

  • AI can increase the lifespan of older MRI systems
  • AI optimises MRI image quality cost-effectively, without expensive upgrades

Another beneficial aspect of integrating AI into MRI is increasing the service life of MRI systems.

Instead of considering cost-intensive hardware upgrades or even new purchases for successor generations with better image quality, existing systems, especially in the low-field range, can very easily be upgraded to a similar image level of 1.5 Tesla systems.

Original Enhanced
C-Spine T2WI, 0.3T Hitachi AIRIS II 3D PBSG 1. 0x1 2x3 5 mm. Same scan, Scan time: 03:24